How Information Technology Investment Affects Green Innovation in Chinese Heavy Polluting Enterprises

被引:11
作者
Chen Xiude [1 ,2 ]
Tan Yuting [1 ]
Lin Miaoxin [1 ]
Zhang Guangyu [1 ,2 ]
Ma Wencong [1 ,2 ]
Yang Shiwei [1 ,2 ]
Peng Yulian [3 ]
机构
[1] Guangdong Univ Technol, Sch Management, Guangzhou, Peoples R China
[2] Innovat Theory & Innovat Management Res Ctr, Guangzhou, Peoples R China
[3] Guangzhou City Univ Technol, Sch Management, Guangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
information technology investment; green innovation; resource-based; knowledge integration; heavy polluting enterprises; DEVELOPMENT SUBSIDIES; ABSORPTIVE-CAPACITY; EMPIRICAL-ANALYSIS; ECO-INNOVATION; FIRM; KNOWLEDGE; IMPACT; PERFORMANCE; ORIENTATIONS; CAPABILITIES;
D O I
10.3389/fenrg.2021.719052
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Promoting green innovation is an effective way to solve the increasingly serious environmental pollution problems in emerging economies. Information technology is constantly changing the operation mode of enterprises; however, whether information technology investment helps promote enterprises' green innovation is still an important issue to be studied. According to resource-based and knowledge integration theory, this study constructs data from Chinese A-share listed heavy polluting enterprises during 2010-2018, adopting the panel data Tobit model to investigate the nexus between information technology investment and green innovation. Our empirical results demonstrate that the amount of information technology investment is positively correlated with the emerging levels of green patents in Chinese heavy polluting enterprises, and this positive correlation only significantly exists in state-owned enterprises (SOEs) and enterprises with a strong sense of environmental responsibility and strict environmental regulation. The findings of this study help understand in depth how information technology investment affects enterprises' green innovation and its boundaries, which also have important policy implications for government departments and enterprises to make better use of information technology to deal with the challenge of environmental pollution.
引用
收藏
页数:13
相关论文
共 73 条
[1]   The duality of digital and environmental orientations in the context of SMEs: Implications for innovation performance [J].
Ardito, Lorenzo ;
Raby, Simon ;
Albino, Vito ;
Bertoldi, Bernardo .
JOURNAL OF BUSINESS RESEARCH, 2021, 123 :44-56
[2]   Towards Industry 4.0 Mapping digital technologies for supply chain management-marketing integration [J].
Ardito, Lorenzo ;
Petruzzelli, Antonio Messeni ;
Panniello, Umberto ;
Garavelli, Achille Claudio .
BUSINESS PROCESS MANAGEMENT JOURNAL, 2019, 25 (02) :323-346
[3]   Creativity enables sustainable development: Supplier engagement as a boundary condition for the positive effect on green innovation [J].
Awan, Usama ;
Sroufe, Robert ;
Kraslawski, Andrzej .
JOURNAL OF CLEANER PRODUCTION, 2019, 226 :172-185
[4]   The impacts of government R&D subsidies on green innovation: Evidence from Chinese energy-intensive firms [J].
Bai, Yu ;
Song, Siyi ;
Jiao, Jianling ;
Yang, Ranran .
JOURNAL OF CLEANER PRODUCTION, 2019, 233 (819-829) :819-829
[5]   FIRM RESOURCES AND SUSTAINED COMPETITIVE ADVANTAGE [J].
BARNEY, J .
JOURNAL OF MANAGEMENT, 1991, 17 (01) :99-120
[6]  
Bi X., 2017, Account. Res, V1, P46
[7]   REGULATION AS A MEANS FOR THE SOCIAL-CONTROL OF TECHNOLOGY [J].
BRAUN, E ;
WIELD, D .
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 1994, 6 (03) :259-272
[8]   Voluntary environmental regulation and firm innovation in China [J].
Bu, Maoliang ;
Qiao, Zhenzi ;
Liu, Beibei .
ECONOMIC MODELLING, 2020, 89 :10-18
[9]   Can direct environmental regulation promote green technology innovation in heavily polluting industries? Evidence from Chinese listed companies [J].
Cai, Xiang ;
Zhu, Bangzhu ;
Zhang, Haijing ;
Li, Liang ;
Xie, Meiying .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 746
[10]   Ownership structure, independent board members and innovation performance: A contingency perspective [J].
Chen, Chung-Jen ;
Lin, Bou-Wen ;
Lin, Ya-Hui ;
Hsiao, Yung-Chang .
JOURNAL OF BUSINESS RESEARCH, 2016, 69 (09) :3371-3379